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» How to Interpret Implicit User Feedback
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132
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PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
15 years 1 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...
133
Voted
SI3D
1997
ACM
15 years 7 months ago
Attention and Visual Feedback: The Bimanual Frame of Reference
We investigate the synergy of the two hands for virtual object manipulation. We report results from an experiment which suggest that the two hands together provide sufficient per...
Ken Hinckley, Randy F. Pausch, Dennis Proffitt
108
Voted
BCSHCI
2007
15 years 5 months ago
A survey on common practice in designing audio in the user interface
The current practice of designing the auditory mode in the user interface is poorly understood. In this survey, we aim at revealing the common understanding of the role of audio i...
Christopher Frauenberger, Tony Stockman, Marie-Luc...
SIGOPSE
2000
ACM
15 years 7 months ago
Congestion prices as feedback signals: an approach to QoS management
Recently there has been a renewed interest in the application of economic models to the management of computational resources. Most of this interest is focused on pricing models f...
Rolf Neugebauer, Derek McAuley
129
Voted
SIGIR
2010
ACM
15 years 7 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...